Award Data

This proposed effort will establish the ability to observe global upper atmosphere dynamics at the vertical and horizontal resolutions required to dramatically advance weather forecasts and predict upper atmosphere turbulence. We show this can be accomplished with simple static thermal DSGF imagers looking in both the limb and nadir. The limb measurements, with a sensor called the Doppler Wind and ...

Exploitation of weather and climatological information has historically provided significant (and at times decisive) advantages for Air Force and Department of Defense missions (e.g., WWII, 2003 Iraq, etc.) Current and short-term (0-7 day) and climatological (long-term average) weather information near the geographic locations of missions have often been the basis for these operations. However, a ...

Operator maintenance of equipment is a perennial problem for the Armed Forces. Operators are often pressed for time or inclined to take shortcuts when performing pre-operations maintenance checks on equipment such as forklifts, APU’s, trucks and so forth that are needed to support air operations. The aircraft and munitions tend to have a more important focus. However, it is critical that th ...

Synthetic Aperture LIDAR (SAL) and Synthetic Aperture RADAR (SAR) are complimentary sensing technologies that enable long-range imaging and target identification beyond the diffraction limit at optical and radio frequencies, respectively. Processing SAL and SAR requires high-speed digitizers with substantial data volume associated with phase tracking and aperture synthesis sampling requirements. O ...

AAA, SAMs and future rail-gun weapons present a significant threat to US aircraft including the F-35 JSF and AC-130 in contested areas. In Phase 1, TSC will investigate radar-based approaches to both identify AAA and SAMs on the battlefield and to detect and backtrack their projectiles to their points of origin. TSC will also develop an air combat decision aid that predicts AAA sites based on topo ...

Anti-aircraft artillery (AAA) pose a significant threat to military aircraft such as the F-35 and AC-130, as well as unmanned aerial vehicles (UAVs). The goal of this effort is to develop a knowledge-aided Bayesian inference algorithm that uses the available radar sensors on board the aircraft along with prior knowledge about AAA physical characteristics and topographical constraints to detect and ...

Fibertek proposes a novel and extremely low-cost Space Situational Awareness (SSA) sensor with an integrated stand-alone Free Space Optical communication link. The sensor can be separated into 2 modules to support flexible integration into a small sat. The low-cost sensor suite will provide long range and precise 3D lidar threat targets information while enabling short range intra-communication fo ...

Counter Siege provides a framework and solution components for scalable manned-unmanned teaming. It solves critical issues related to (i) human cognitive burden, (ii) planning, and (iii) disadvantaged communications environments.

The USAF relies on automated text processing systems powered by machine learning to support its Processing, Exploitation, Dissemination mission. The effectiveness of these systems are dependent on domain specific, relevant, and current labeled training data. Yet often, due to to a variety of human, data, and machine challenges, training data sets do not keep pace with the semantic evolution and ex ...

Multi-Level (cross domain) Information Assurance (IA) and Cyber Security (CS) are high priorities for commercial and military sectors. Formerly data security meant marking, filing, and tracking classified information. Today voice, chat, twitter, emails, and video media are added to the mix of information that must be protected. The DoD has mandated that information stored in media or transmitted v ...